Altexsoft

JUNE 11, 2021

Process mining is a set of techniques for the analysis of operational processes based on event logs extracted from company’s databases, information systems, or business management software such as enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

AUGUST 25, 2021

Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Sentiment analysis. Sentiment analysis results by Google Cloud Natural Language API. Low-level vs high-level NLP tasks. Text classification. Language detection.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Altexsoft

FEBRUARY 22, 2022

And breakdowns are just too expensive, especially at a fleet-wide scale (not to mention risking drivers’ lives, losses due to unfulfilled contracts and related downtime, and customer dissatisfaction). You can adopt a comprehensive fleet management system that has vehicle maintenance as one of its modules. So, what’s the alternative?

Software Review 52

Software Review Technical Review Software Technology 52

O'Reilly Media - Data

MARCH 22, 2018

There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted. Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g.,

Off-The-Shelf 115

Off-The-Shelf Artificial Inteligence Machine Learning Weak Development Team 115

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. The ultimate goal of an SCCT is to support efficient, data-based decision-making, planning, and risk management, as well as quick and effective reactions to disruption.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

NOVEMBER 9, 2021

Accounts payable are most vulnerable to errors (whether deliberate or not) due to disconnected and inaccurate information, especially if you have to deal with a big amount of documentation and process multiple transactions. The market is constantly changing due to a myriad of factors. Contract management to review and audit agreements.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

SEPTEMBER 9, 2022

Metadata storage usually implies developing a specialized repository. Efficient metadata management ensures data integrity , consistency, trustworthiness, and compliance. Some schemas were developed by national and international communities and adopted for wider usage. In this case, they become standards.

Tools 59

Tools Technical Review Software Review Systems Review 59

Cloudera

DECEMBER 10, 2020

They require skilled central IT teams to tackle technical complexities and long lead times in planning, procuring, and provisioning. Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . For example, . x 24 x 10 )+ ($1.44

Data 98

Data Technical Review Storage Systems Review 98

O'Reilly Media - Ideas

MARCH 31, 2020

You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.

Product Management 138

Product Management Artificial Inteligence Machine Learning Software Review 138

O'Reilly Media - Ideas

MARCH 1, 2023

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

Trends 135

Trends Technical Review Technology Software Review 135

Altexsoft

JULY 23, 2020

The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps. Better user experience.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

O'Reilly Media - Ideas

JANUARY 25, 2022

AI is making that transition now; we can see it in our data. What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers?

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Data analysis.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Comparatively few organizations have created dedicated data quality teams. This is hardly surprising.

Weak Development Team 127

Weak Development Team Data Technical Review Survey 127

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage? process data in real time and run streaming analytics. How Apache Kafka streams relate to Franz Kafka’s books.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 90

Insurance Compliance Technical Review Banking 90

Cloudera

MAY 13, 2021

WM reveals strengths and weaknesses in workloads that run on Cloudera clusters. In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. If you burst this user to the cloud how much pressure will it relieve from your on premises system?

Data Engineering 74

Data Engineering Cloud Weak Development Team Resources 74

DataRobot

MARCH 23, 2023

Use a cost-benefit analysis to explore ROI and risk. Data science teams can then better address challenges associated with the ML lifecycle. How can you best avoid duplicating effort when managing ML models across departments with different needs, and deliver more value?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Weak Development Team Software Review 52

O'Reilly Media - Ideas

MARCH 18, 2020

More than half of respondent organizations identify as “mature” adopters of AI technologies: that is, they’re using AI for analysis or in production. One-sixth of respondents identify as data scientists, but executives—i.e., What is more, almost three-quarters of survey respondents say they work with data in their jobs.

Enterprise 132

Enterprise Survey Technical Review Weak Development Team 132

Altexsoft

MARCH 2, 2023

Data governance is a broad term that refers to a critical set of organizational policies, processes, roles, standards, and metrics for ensuring the accuracy, consistency, security, and availability of data as well as its effective use. Data quality involves storing data in its correct and consistent form.

Government 52

Government Tools Data Weak Development Team 52

Altexsoft

MAY 14, 2021

Veracity is the measure of how truthful, accurate, and reliable data is and what value it brings. Data can be incomplete, inconsistent, or noizy, decreasing the accuracy of the analytics process. Due to this, data veracity is commonly classified as good, bad, and undefined. Big Data analytics processes and tools.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

OCTOBER 8, 2021

But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. and transformation to achieve the format suitable for a target system.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

NOVEMBER 10, 2021

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

NOVEMBER 22, 2019

It can be extracted from multiple websites, metasearch platforms, social media, internal documents, reports and systems. There are several pillar data sets you have to consider in the first place. Important hotel data sets and overlaps between them. Booking and property data. metasearch engines. Guest data.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64